Instructions to use probing-vits/vit_b16_patch16_224_i1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use probing-vits/vit_b16_patch16_224_i1k with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://probing-vits/vit_b16_patch16_224_i1k") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from probing-vits/vit_b16_patch16_224_i1k: direct link, hf CLI and curl.
- Browser
- Download file 226 kB
-
https://huggingface.co/probing-vits/vit_b16_patch16_224_i1k/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://probing-vits/vit_b16_patch16_224_i1k/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/probing-vits/vit_b16_patch16_224_i1k/resolve/main/keras_metadata.pb
226 kB
- Xet hash:
- d16428ace9e213b66e2e6f972b118329895e5a608fa22fe84981d218bb45bcb2
- Size of remote file:
- 226 kB
- SHA256:
- 1aebacf6c02eb4308e8b8ece6fb82f1ed5083570156d3ced407aa0765b6d4b74
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